Have you ever found yourself or a loved one waiting hours and hours in a hospital Emergency Room to get care? Or have you ever had a surgery scheduled for months in the future that needed to happen sooner? Unfortunately, our healthcare system is full of these types of operational problems. Our work saves lives and helps hospitals cut tens of millions of dollars in operational costs, while improving the quality of care they’re able to deliver.

Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.

Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2019 Black Book Awards in healthcare for patient flow and by CB Insights as a 2019 top 100 Most Promising Company in Artificial Intelligence. Recently, Qventus won the Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge through its work helping health systems across the country plan for and operate in the COVID pandemic.

Qventus is looking for a Senior Data Platform Engineer, who will build and own significant components of the Qventus data platform that ingest data from multiple parts of the hospital to external data sources such as weather feeds. This person will have significant impact on the team and company given that the data platform powers our machine learning and AI based recommendations, all of our data analytics capabilities, and much of our web and mobile properties. You'll work with a talented team of data platform engineers to strategize, define, execute, and launch new data platform products.

Key Responsibilities:

• Design and implement highly scalable backend systems and algorithms to process massive amounts of complex, high dimensionality, high cardinality data.
• Work closely with rest of the team members to develop, test, deploy, and operate high quality, scalable software.
• Design and develop test cases and implement automated test suites to ensure both code quality and data integrity/quality.

Key Qualifications:

• 3+ years of professional experience working with modern programming languages such as Java, C/C++, Python, and SQL.
• Proficiency in data modeling and pipeline design.
• Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services.
• Experience with DBT and Snowflake (highly desirable).
• Interest and ability in learning and working in a fast paced dynamic environment across multiple technologies.
• Practiced ability to lead technical architecture discussions and helping drive technical decision making within your team.
• Dedication to high code quality - writing understandable, testable code with an eye towards maintain ability.
• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training / experience

Desired Skills:

• Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike.
• Ability to mentor and help mature our technical team.


Practical hands on experience with:
• building large-scale, high complexity metrics and monitoring.
• creating applications on top of RESTful APIs and micro services.
• stream processing, messaging semantics, scheduling algorithms, and distributed systems
• fundamentals – Kafka, Spark, AWS Glue, Airflow, Lambda, Storm or related technologies
• ELK, DBT, Snowflake, AWS, Terraform, Ansible experience

Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/